The key to the NexArm robotic arm's smooth start and stop at a 500mm reach is its high-precision magnetic-encoder bus servos. The 12-bit magnetic angle sensors in the core joints provide 360° absolute angle detection and 4096-step position resolution, and their contactless measurement avoids wear.
The robot IGRIS-C completed its first public outing in Seongsu-dong, Seoul, performing dynamic moves such as backflips and windmills on site, then walked back to the office on its own after interacting and taking photos with the crowd. This is the first day out for IGRIS-C as documented by ROBROS, and the full version will be released next week.
At 2026 WAIC, JAKA Robotics' full-stack, in-house developed embodied intelligence products were showcased together. The JAKA K1-25 humanoid robot weighs under 25 kg, has a maximum payload of up to 30 kg, and features 1 kHz force-control response and ±0.1 mm repeat positioning accuracy; the new energy motor collaborative assembly system jointly built by JAKA Kargo and Hasco Automotive has a recognition accuracy of 99% and can complete 0.5 mm fine-thread screw fastening in 10 seconds.
Booster Robotics' humanoid robot ran the 21.0975 km Yizhuang Half Marathon in 1 hour 53 minutes, performing well in the small and medium-sized humanoid robot category. The course included ramps, sharp turns, and asphalt surfaces; a support tram losing power mid-race slowed the team, but the robot completed the race stably throughout. The team previously won a RoboCup championship and two titles at the German Open, and before the race the robot underwent a 48-hour continuous operation stress test.
Boston Dynamics' humanoid robot Atlas handed the match ball to the referee and performed a series of soccer celebration moves during halftime of the 2026 FIFA World Cup round-of-16 match between Norway and Brazil on July 5. This was the first public appearance of the production version of Atlas and the first robot halftime performance in World Cup history. The behavior is based on reinforcement-learning whole-body control training and was tested in both the lab and real environments; it was a live demonstration rather than an on-site autonomous operational deployment. The event is related to Hyundai's "Next Starts Now" project.
LimX Dynamics released V³-0 alongside COSA 0.5, a humanoid VLA technology stack in its VLA-tools layer that supports mobile whole-body manipulation, running on the 43-DOF LimX humanoid robot Oli.
Why it matters: The original text explains the architectural composition of V³-0 and its human-in-the-loop real-robot reinforcement learning loop, which lets readers understand where the mobile whole-body manipulation capability comes from.
Figure AI announced that the Figure 03 humanoid robot has entered Hall 52 at BMW Group Plant Spartanburg, shifting from the sheet metal loading and unloading work previously done by Figure 02 to a sequencing sorting use case; Figure 02 took part in assembling 30,000 vehicles last year.
Why it matters: The company has released details of Figure 03's deployment scenario at the BMW plant and of its Helix 02 drive, so readers can learn about progress in bringing humanoid robots from material handling to complex sorting.
STIER uses AI flexible grinding technology to address the pain points of easy scratching and insufficient consistency in weld seam grinding for battery box enclosures. Its solution uses PolishX flexible force control (accuracy ±0.1N) and millimeter-level visual positioning perception, combined with a process grinding knowledge base and the NextBrain™ AI cloud system to make grinding decisions, and has self-learning and adaptive capabilities. It also provides full-process support including customized laser scanning solutions, real-time data monitoring, and grinding head wear warnings.
STIER has launched an AI flexible grinding robot workstation that builds a "perception-analysis-decision-execution" physical AI closed loop, targeting the grinding of multi-curved-surface parts in high-end manufacturing such as aerospace and precision molds. The solution uses 3D vision inspection and positioning, a PolishX flexible force-control system belt grinder, and the self-developed NextBrain™ Mushroom Cloud system. In a wet grinding case involving silicon carbide composite workpieces, it achieved fully autonomous operation across the entire process, with contact force control accuracy of ±0.5% FS, per-piece processing time shortened by more than 22%, and product changeover completed within 10 minutes.
Professor Zhu Yanhe's team at Harbin Institute of Technology (HIT) published a paper in the International Journal of Extreme Manufacturing (IJEM), proposing an autonomous fault-tolerant repair strategy for modular robots based on cooperative reconfiguration, which restores joint fault damage by changing morphology without backup module replacement. The method combines topological description and kinematic self-modeling, particle swarm optimization to search for target configurations, and an improved RRT cooperative reconfiguration algorithm. In experiments, the fault-tolerance upper limit was 7 times higher than that of fixed-configuration redundancy methods. HIT is the sole completing institution, and doctoral student Qi Jian is the first author.
Why it matters: The paper presents a cooperative reconfiguration fault-tolerance strategy that requires no backup modules and data showing a 7-fold increase in the fault-tolerance upper limit, allowing readers to understand a concrete implementation path for self-repair in robot swarms under extreme environments.
In a payload demo, Duatic Alpha lifted 22.4 kg at full 1-meter extension, held it steady for 2 seconds, then safely set it back down, repeating this 10 times consecutively. The test was used to verify the platform's lifting capability, stability, and operational reliability, showcasing its mechanical design and motor control precision; the source did not provide information on speed, battery life, or mass-production delivery.
DEEP Robotics' small wheeled-legged robot, the Lynx S10 prototype, completed a 76-day, 11,852-nautical-mile Arctic Ocean research test aboard Sun Yat-sen University's Polar Research Vessel Zhongshan, marking the first time a quadruped robot has set foot on Arctic Ocean ice. The unit, weighing under 20 kg including its battery, was fitted with anti-slip bionic feet mimicking polar bear paws in collaboration with Sun Yat-sen University, Westlake University, and Hangzhou Dianzi University, and completed crawling and motion-control tests with crampons; the body uses an IP67 integrated sealed design, and after increasing the surface area of its limbs for paddling, it completed swimming tests in ice water.
Why it matters: The original article provides the specific test conditions and hardware modifications for the Lynx S10's walking on Arctic Ocean ice and operation in ice water, helping readers understand how quadruped robots are adapted for polar scenarios.
Enchanted Tools' humanoid robot Mirokaï demonstrates multi-terrain navigation in a video, seamlessly switching between surfaces such as carpet, wood flooring, tile and concrete while continuously adjusting its behavior to maintain stability and smooth movement. This is a demo; the company teases further news on June 16, 2026, and invites people to join its Discord community.
PKU EPIC Lab released LIMMT (Less Is More for Motion Tracking), which it describes as the first data-centric study for physics-based simulated humanoid motion tracking. The method defines motion data quality along three dimensions: physics feasibility, diversity, and complexity. Training on less than 3% of AMASS achieves better tracking performance than training on the full dataset, and the team also cleaned web-sourced mocap data. The paper has been accepted to ICML 2026; see arXiv:2606.06953.
Why it matters: The paper presents a three-dimensional data quality framework and results from training on a small amount of data, offering a methodological reference for researchers working on humanoid motion tracking.
Boston Dynamics has partnered with Hyundai to train the Atlas® humanoid robot, using human demonstration references and reinforcement learning, to perform a Ghost Rabona kick it had never done before, including a feint step and a cross-legged shot.
STIER has built an integrated AI flexible grinding solution covering perception, analysis, decision-making, and execution, targeting the difficult grinding and polishing of special-shaped bent pipes such as liquid-cooling bent pipes and exhaust bent pipes. Its self-developed SeeV perception system combines 3D imaging to identify contours and deviations; the NextBrain™ AI Mushroom Cloud system plans trajectories and enables one-click changeover; and the six-axis AI flexible grinding robot is equipped with the PolishX flexible force control system, achieving contact force control accuracy of ±0.5% FS and supporting small-batch, multi-model customized production.
Enchanted Tools demonstrates in a video how the Mirokaï robot moves naturally in dynamic environments, relying on trajectory visualization, smooth navigation, and model predictive control (MPC) to continuously adjust its movements. The video targets hospitals, nursing homes, public spaces, and workplaces, emphasizing that movement is not just about avoiding obstacles but about making the people around it feel comfortable, able to predict its motion, and at ease intuitively. It ends with "WE'RE READY. ARE YOU?" and the date June 16, 2026.
The CENTAURO project, in which PAL Robotics participates, redesigned the 7-DOF robotic arm for the TIAGo Pro mobile manipulator, optimizing the workspace to reach angles and positions that were previously unreachable. The arm integrates series elastic actuators (SEA) that can absorb impacts and measure contact force, and shifts to torque and admittance control, enabling the robot to sense applied pressure. The WebGUI v3 ecosystem adds a drag-and-drop visual programming interface, allowing non-experts to configure complex tasks in scenarios such as polishing and logistics.
LimX Dynamics has released LimX Luna, a full-size interactive humanoid robot for commercial services. It stands 160 cm tall and has 27 body degrees of freedom (excluding end effectors). Global preorders open today, with a domestic retail price of 298,000 yuan and a limited-time 40,000 yuan discount on the first 100 units.
On April 23, Beyond Imagination brought SMASH, billed as the world's first outdoor autonomous humanoid ping pong robot system, to the Shandong City Table Tennis Super League (Zibo stop). World champion Chen Meng, CCTV host Ju Ping, commentator Gao Han, actor Zhang Xiaolong and other guests took the stage to play against the robot live, producing real rallies. This was a live demonstration and interactive challenge; the original article did not provide metrics such as the autonomous execution success rate.
Noble Machines published an article introducing its three-layer robot learning stack for industrial autonomy, along with on-site test results from GTC 2026: over four days, the same model simultaneously drove multiple Moby robots to complete two autonomous tasks at the NVIDIA booth and its own booth.
Figure AI demonstrated two humanoid robots equipped with Helix-02 collaborating to tidy a bedroom within two minutes, completing tasks such as opening a door, hanging clothes, putting away headphones, closing a book, taking out trash, pushing a chair under a desk, and making a bed together. The two robots run the same learned vision-language-action (VLA) policy, with no shared planner, message passing, or central coordinator; each infers the other's intent from its actions via its own cameras. The company says that to its knowledge this is the first demonstration of multi-humanoid collaborative mobile manipulation completed by a single learned neural network directly from pixels to actions.
Why it matters: The official demonstration shows two humanoid robots driven by the same VLA system collaborating to tidy a bedroom, giving readers insight into an approach to multi-robot collaboration without a shared planner.
The Kepler K2 humanoid robot is being marketed in a "fitness beast" mode for extreme endurance, strength, and precision control, with claims that it can easily handle a 30KG payload, deliver continuous output on a single charge, and show no performance degradation. The source does not provide specific figures such as battery life, degrees of freedom, test conditions, or success rates; the performance claims are the company's marketing statements and are not labeled as verified results.
Team Equilibrio, this year's Focus project at ETH Zurich's Robotics Systems Lab, has built Wheeliam, a single-wheel robot with highly dynamic legs and a single-wheel design that can perform agile movement and jumps.
Tokyo Robotics demonstrated human-like walking, whole-body teleoperation, and motion tracking on its custom-built Torobo humanoid. The control policies are trained through large-scale parallel reinforcement learning, and policies learned in physics simulation, once deployed to the real hardware, achieved dynamically stable whole-body motion. The company says it will continue improving motion stability in both software and hardware, and plans to introduce AI for autonomous task execution.
Noble Machines and Schaeffler have partnered to bring high-fidelity digital twins of high-performance actuators into the open-source physics engine Newton, for developing whole-body control policies before hardware deployment. The models can capture manufacturing variations and predict aging and energy consumption, with energy consumption predictions up to 10 times higher than idealized models, and feedforward compensation can reduce tracking error by up to 68%. Robots can also use control signals as identification signals to enable online self-diagnosis and compensate in real time for wear or environmental drift.
Figure AI released a new Helix 02 demo in which a single neural network system completes an end-to-end living room tidying task with full-body control, continuously manipulating objects, tools, and containers while walking. In the demo, Helix 02 uses no new algorithms or special engineering; with only added data, it learned to wipe and clean with a spray bottle and towel, collect blocks into a box carried with both hands, toss a pillow back onto the sofa, turn around while holding a remote and then press a button to turn off the TV, and sidestep through the narrow gap between the coffee table and the sofa.
At the Beijing TV Spring Festival Gala, RealMan's RealBOT wheeled folding robot used remote teleoperation to open a refrigerator, take out soy sauce, pour soy sauce, and stir dumpling filling; it was the only company among the participating recording enterprises to complete on-site work via remote teleoperation. Its integrated joint module has an MTBF of 50,000 hours, opening the refrigerator door requires an instantaneous torque of about 14 kilograms, pouring soy sauce relies on visual guidance and high-frequency posture correction to achieve zero spills, and mixing the filling is controlled by a remote "isomorphic arm" that records data to feed back into training models for the remote operation network (GLN).
Humanoid has released KinetIQ, a proprietary AI framework for end-to-end unified orchestration of humanoid robot fleets in industrial, service, and home scenarios; a single system can control robots with different body and end-effector forms.
Figure AI has released Helix 02, extending control from the upper body to the entire humanoid robot and enabling continuous, integrated autonomous tasks combining locomotion and manipulation. It adds a new System 0 whole-body controller, trained on over 1,000 hours of human motion data and simulation-based reinforcement learning, which outputs joint commands at 1 kHz via a 10M-parameter network, replacing roughly 109,504 lines of hand-written C++ code; System 1 connects head-mounted vision, palm cameras, fingertip touch sensing, and proprioception, outputting whole-body joint targets at 200 Hz.
Why it matters: The original text provides details on Helix 02's architectural layers, training data, and demonstration tasks, allowing readers to understand the specific implementation approach for full-body autonomous control.
The Kepler K2 "Bumblebee" humanoid robot completed three rounds of external push disturbance tests on a slope, staying stable in all of them, and said, "Push all you want — I'll keep walking." This is a real-machine stability test; the company says continuous training is still ongoing, and more real-machine performance results will be released gradually.
At CES 2026, Sharpa unveiled North, its first full-body autonomous robot, and completed four fully autonomous live demonstrations. North has a 0.02-second reaction time in table tennis rallies, takes photos with about 2 mm precision, deals cards through multimodal reasoning, and completes a 30+ step paper pinwheel craft sequence, which the company calls one of the longest continuous autonomous operations publicly demonstrated to date.
LimX Dynamics has launched the multi-form embodied robot TRON 2, whose single body can quickly switch between three configurations: dual-arm, bipedal, and dual-wheel-legged. It is priced from 49,800 yuan and is open for pre-order starting today. The dual-arm configuration is a 7-DoF humanoid design with a 70 cm arm span and a 10 kg dual-arm payload, and the body has a maximum load capacity of 60 kg. In bipedal form it has a 4-hour battery life and a maximum payload of 30 kg, and it can perceive its surroundings and climb stairs.
Why it matters: The original text provides the one-body, three-form configurations, the dual-arm specifications, and the pre-order price, which readers can use to assess its suitability for VLA and mobile manipulation development.
Blue Robin has launched its first humanoid robot, P-73, which uses torque-based whole-body control. It has increased computing power and integrated on-device AI, along with a robotic hand that offers strong grasping capability and durability.
Dobot has used robotics technology, bionic structures, and a multimodal embodied intelligence core to "revive" the primitive Sinosauropteryx, enabling it to perceive its environment through vision and touch and to control its body movements autonomously. The team used a hard-shell component skeleton, compliant joints, and bionic tendon-bone coordinated transmission, with the outer skin made of silicone flocked skin implanted by hand. This is the first deployment of its robotic entertainment solution, aimed at high-end cultural tourism, science education, and film special effects, with plans to build a business model of hardware sales plus rental operations, content subscriptions, and offline experiences.
Two V3 MenteeBots complete a logistics task fully autonomously in a warehouse, with no teleoperation, transferring 32 boxes from 8 stacks to 4 flow racks. The task demonstrates stable manipulation and dexterity, precise locomotion, and reliable decision-making; the full unedited version runs 18 minutes.
Tianlian Robotics has published a video imitation learning training pipeline: extract reference motions with GVHMR/TRAM (or use motion capture datasets such as AMASS), then after human-to-robot joint mapping and training a motion orientation model, use PPO reinforcement learning in simulation with curriculum learning to progress from static poses to long-sequence complex motions, then optimize through domain randomization before deploying to the real robot, with fine-tuning via residual reinforcement learning or adaptive gains. The company says it has achieved key breakthroughs in dynamic force-control precision and stability, and that motions can also be reproduced in real robotic arm operation.
LimX Dynamics has introduced LimX DreamActor, an embodied intelligence training paradigm that for the first time deeply integrates Real2Sim2Real, imitation learning, and real-robot reinforcement learning into a full pipeline of "real-world environment data collection—simulation data pretraining—real-robot data post-training." The system can complete multi-view data collection using only a consumer-grade camera; through 3D reconstruction and physical parameter alignment it builds a highly realistic simulation scene, then uses a small amount of real-robot reinforcement learning to complete cross-domain transfer, aiming to improve sample efficiency, convergence speed, and deployment stability.
Lumos Robotics' full-size humanoid robot LUS2 took second place in the group dance event at the first World Humanoid Robot Games. The 2-minute 36-second performance was carried out by three LUS2 robots, each 1.6m tall and weighing 57kg, relying on millisecond-level multi-joint path planning, dynamic balance control, and a full-body dynamic control system with 28 degrees of freedom.
Robot Lecture Hall reported on-site from the LimX Dynamics booth at the 2025 World Robot Conference. The full-size humanoid robot LimX Oli, 165 cm tall with 31 active degrees of freedom, made its first WRC appearance and went on sale, demonstrating outdoor live dancing and switching among multiple gaits such as a light quick step, model walk, and goose step, powered by a whole-body motion control algorithm combining traditional control, reinforcement learning, and imitation learning, with prices starting at 158,000 yuan.
Why it matters: The author attended WRC in person and breaks down the gait switching, disturbance-rejection recovery, and teleoperation details at the LimX Dynamics booth item by item, so readers can understand its full-chain technology roadmap.